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    3. Deep Reinforce

    Deep Reinforce

    DeepReinforce automates deep code and system optimization using Agentic Reinforcement Learning to achieve superhuman performance in GPU kernels and infrastructure.

    Visit Website

    At a Glance

    1Tool Listed
    5Products
    30Tool Views
    5Capabilities
    Discussions
    Santa Clara, CaliforniaHeadquarters
    2024Est.
    25Employees
    $100MRaised
    Focus Areas
    AI Coding Assistants
    Code Intelligence
    Performance Testing
    Connect
    Latest News
    DeepReinforce AI Agent Wins Competitive Programming ContestApr 1, 2026
    Major IterX Upgrade: Agent Integration for Automated Performance TuningMar 1, 2026
    Markets
    • AI Infrastructure Providers
    • Cloud Computing Companies
    • GPU Manufacturers
    • LLM Developers
    • +1 more

    AI Tools by Deep Reinforce

    (1)
    View IterX
    IterX tool icon

    IterX

    AI Code Performance Optimizer

    AI Coding Asst.Code IntelligencePerformance Testing

    Discussions

    No discussions yet

    Be the first to start a discussion about Deep Reinforce

    Latest News

    04/01/2026

    DeepReinforce AI Agent Wins Competitive Programming Contest

    X (Twitter)
    03/01/2026

    Major IterX Upgrade: Agent Integration for Automated Performance Tuning

    Company Website / LinkedIn
    12/01/2025

    CUDA-L2 Outperforms NVIDIA's cuBLAS by 10-30%

    arXiv / ResearchGate
    09/01/2025

    DeepReinforce Introduces CUDA-L1: Boosting GPU Performance by 3.12x

    MarkTechPost

    Products & Services

    5
    IterX
    2026

    An automated system for deep code optimization using reinforcement learning. It allows developers to define reward targets (speed, memory) and automates the optimization of kernels and infrastructure.

    CUDA-L2
    Dec 2025

    An RL-driven system that automatically optimizes matrix multiplication kernels, surpassing NVIDIA's cuBLAS performance.

    CUDA-L1
    Sep 2025

    An automated framework for general CUDA kernel optimization using contrastive reinforcement learning.

    CRINN
    Sep 2025

    A framework for optimizing vector search (Approximate Nearest Neighbor Search) using reinforcement learning.

    Market Position

    Positioned as a replacement for manual specialized engineering, DeepReinforce's IterX uses agents to find performance optimizations that surpass hand-tuned industry standards like NVIDIA's cuBLAS.

    Leadership

    Founders

    JL

    Jiwei Li

    Founder and CEO. Stanford CS PhD (first to finish in 3 years). Previously Founder of Shannon.AI (acquired/successful NLP startup) and Chief AI Officer at Altonomy. MIT TR35 Under 35 winner. Extensive background in Deep Reinforcement Learning for NLP.

    XL

    Xiaoya Li

    Co-Founder and Core Researcher. Background in Deep Reinforcement Learning and NLP, previously researcher at Shannon.AI and researcher on CRINN/CUDA-L1/L2 papers.

    AW

    Albert Wang

    Co-Founder and Core Researcher. Background in AI optimization and reinforcement learning, co-author of the CUDA-L series papers.

    CS

    Chris Shum

    Co-Founder and Core Researcher. Researcher focusing on reinforcement learning and system optimization.

    Executive Team

    JL

    Jiwei Li

    CEO & Founder

    Stanford CS PhD, Serial Entrepreneur (Shannon.AI), MIT TR35.

    XL

    Xiaoya Li

    Co-Founder & Core Researcher

    Leading researcher in RL-based code optimization.

    Founding Story

    Founded by Jiwei Li, who previously revolutionized NLP with Shannon.AI. The vision was to apply the same power of deep reinforcement learning to the 'hardest' part of engineering: low-level system and code optimization, which is typically bottlenecked by manual human effort.

    Business Model

    Revenue
    N/A

    Revenue Model

    API usage and enterprise licensing for IterX.

    Private

    Target Markets

    Industries & Segments
    • AI Infrastructure Providers
    • Cloud Computing Companies
    • GPU Manufacturers
    • LLM Developers
    • HFT Firms
    Use Cases
    • GPU kernel optimization
    • AI infrastructure performance
    • Vector search scaling
    • Competitive programming
    • High-performance computing
    Notable Customers
    • NVIDIA
    • Competitive programming participants

    Quick Facts

    Headquarters
    Santa Clara, California
    Founded
    2024
    Entity Type
    Inc.
    Employees
    25
    Total Funding
    Estimated $100M valuation (across ventures)
    Office Locations
    Santa Clara

    Funding History

    Series A/SeedUndisclosed
    2025-2026
    $100M (estimated) valuation

    History & Milestones

    Mar 2026

    Launched major IterX upgrade with autonomous agent integration for end-to-end performance tuning.

    Apr 2026

    DeepReinforce AI Agent takes first place in a major competitive programming contest, outperforming human contenders.

    Sep 2025

    Released CUDA-L1, an automated reinforcement learning framework for CUDA optimization, achieving 3x speedup on average.

    Sep 2025

    Released CRINN, a contrastive reinforcement learning framework for Approximate Nearest Neighbor Search (ANNS).

    Nov 2025

    DeepReinforce officially founded as a company focus on agentic RL for code optimization.

    Key Capabilities

    5
    Autonomous agent-led optimization
    Reward-driven performance tuning
    Support for CUDA and GPU kernels
    ANNS/Vector search optimization
    Superiority over manual baselines like cuBLAS

    Integrations & Partnerships

    Platform Integrations

    • CUDA
    • PyTorch
    • Hugging Face
    • GitHub

    Key Partnerships

    NVIDIA (Research/MLSys collaboration)

    Connect

    Website
    iterx.deep-reinforce.com
    GitHub
    deepreinforce-ai
    X / Twitter
    deep_reinforce

    AI Topics

    3

    Deep Reinforce focuses on these topics:

    AI Coding Assistants(1)
    Code Intelligence(1)
    Performance Testing(1)
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